Applied AI Scientist

Posted 16 Hours Ago
New York, NY
Hybrid
123K-142K Annually
Entry level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
As an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
Summary Generated by Built In

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems-the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
What You'll Do

  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
  • Execute statistical and data mining techniques ( e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
  • E valuat e emerging datasets and technologies for our analytical platform
  • Owning the development of select assets/accelerators for efficient scaling of capability
  • Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them


What You'll Bring

  • Bachelor's or master's degree or PhD in STEM and strong academic performance with analytic and quantitative coursework is required ;
  • Knowledge of programming - Python (Deep Expertise), Pyspark
  • Exp erience in engineering features from a variety of data sources
  • Experience in ML platforms like Dataiku, Sagemaker , MLFlow or other platforms
  • Knowledge of big data/advanced analytics concepts and algorithms ( e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
  • Expertise in developing one or more class of machine learning algorithms ( time series, classification, regression, etc. - preferably in a product environment)


Additional Skills

  • Excellent oral and written communication skills;
  • Strong attention to detail, with a research-focused mindset;
  • Excellent critical thinking and problem-solving skills;
  • High motivation, good work ethic and maturity.


Perks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
To Complete Your Application:
Candidates must possess work authorization for their intended country of employment.
An on-line application, including a full set of transcripts (official or unofficial), is required
to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $150,000.00 - $186,225.00

Top Skills

Pyspark
Python

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
The Company
New York , NY
13,000 Employees
Hybrid Workplace
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm focused on transforming global healthcare and beyond. We leverage our leading-edge analytics, plus the power of data, science and products, to help our clients make more intelligent decisions, deliver innovative solutions and improve outcomes for all. Founded in 1983, ZS celebrated 40th anniversary last year with more than 13,000 employees in 35 offices worldwide.

Why Work With Us

ZS is where ambitions are welcomed. Where you have the freedom to define your own path and pursue whatever lights a fire in your soul. We’re for those whose spirit leads them to move, to act and drive real change. Work side by side with diverse yet like-minded people who share a collective vision driven to change the path of healthcare and beyond.

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ZS Teams

Team
Transforming Global Healthcare and Beyond
About our Teams

ZS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
New York, NY

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